feat(lab): seal full RAVNOVES004TREE semantic review

This commit is contained in:
DCCONSTRUCTIONS
2026-08-29 13:37:57 +03:00
parent 24b65926fe
commit 9dec37a8a9
12 changed files with 1494 additions and 30 deletions
@@ -1,7 +1,8 @@
import { useEffect, useState } from "react";
import { useEffect, useMemo, useState } from "react";
import { Icon, IconButton, StatusBadge } from "@nodedc/ui-react";
import { LaboratoryEvidenceViewer } from "../../components/laboratory/LaboratoryEvidenceViewer";
import { LaboratoryRecordedClipPlayer } from "../../components/laboratory/LaboratoryRecordedClipPlayer";
import {
LaboratoryEvidence,
LaboratoryResultSummary,
@@ -9,10 +10,21 @@ import {
LaboratoryWorkTemplate,
} from "../../components/laboratory/LaboratoryPresentation";
import {
RecordedEvidenceSemanticMaskOverlay,
type RecordedEvidenceSemanticClass,
type RecordedEvidenceSemanticPaletteEntry,
} from "../../components/laboratory/RecordedEvidenceSemanticMaskOverlay";
import {
vegetationFullRouteMaskUrl,
vegetationVideoMaskUrl,
type VegetationFullRouteLayer,
type VegetationFullRouteReview,
type VegetationMixedRouteReview,
type VegetationShadowResult,
} from "../../core/laboratory/vegetationShadow";
import { recordedObservationSources } from "../../core/observation/recordedObservationSources";
import { resolveObservationSessionReplay } from "../../core/observation/useObservationSessions";
import type { ObservationSourceDescriptor } from "../../core/runtime/contracts";
import {
fetchM49TgsFullShadowResult,
type M49TgsFullShadowResult,
@@ -31,6 +43,217 @@ const MIXED_ROUTE_MODES = [
{ value: "tgs", label: "TGS" },
] as const;
const FULL_ROUTE_MODES = [
{ value: "source", label: "SOURCE" },
{ value: "city", label: "ГОРОД · EoMT" },
{ value: "vegetation", label: "ПРИРОДА · DDRNet" },
] as const;
function semanticPresentation(layer: VegetationFullRouteLayer): {
classes: readonly RecordedEvidenceSemanticClass[];
palette: readonly RecordedEvidenceSemanticPaletteEntry[];
} {
return {
classes: layer.taxonomy.map((item) => ({ id: item.classId, label: item.label })),
palette: layer.taxonomy.map((item) => ({
classId: item.classId,
color: item.classId === 0
? { kind: "transparent" as const }
: { kind: "diagnostic" as const, rgb: item.colorRgb },
})),
};
}
function FullRouteReviewEvidence({
resultId,
review,
}: {
resultId: string;
review: VegetationFullRouteReview;
}) {
const [sequence, setSequence] = useState(1);
const [playing, setPlaying] = useState(false);
const [playbackRate, setPlaybackRate] = useState(1);
const [mode, setMode] = useState<typeof FULL_ROUTE_MODES[number]["value"]>("vegetation");
const [expanded, setExpanded] = useState(false);
const [videoSource, setVideoSource] = useState<ObservationSourceDescriptor | null>(null);
const [videoError, setVideoError] = useState<string | null>(null);
const frames = useMemo(
() => review.frameSourceTimesNs.map((sourceTimeNs, index) => ({
sequence: index + 1,
sourceTimeNs,
})),
[review.frameSourceTimesNs],
);
const layer = mode === "source" ? null : review[mode];
const semantic = useMemo(() => layer ? semanticPresentation(layer) : null, [layer]);
const maskSequence = sequence - 1;
const prefetchSrcs = useMemo(() => layer
? Array.from({ length: 8 }, (_, offset) => maskSequence + offset + 1)
.filter((candidate) => candidate < review.frameCount)
.map((candidate) => vegetationFullRouteMaskUrl(resultId, mode as "city" | "vegetation", candidate))
: [], [layer, maskSequence, mode, resultId, review.frameCount]);
useEffect(() => {
const controller = new AbortController();
setVideoSource(null);
setVideoError(null);
void resolveObservationSessionReplay(review.sessionId, { signal: controller.signal })
.then((launch) => {
const source = recordedObservationSources(launch).find((candidate) => (
candidate.id === review.recordedMediaSourceId
&& candidate.modality === "video"
&& candidate.semanticChannelId === "camera.video.recorded"
&& candidate.delivery?.kind === "recorded-fmp4-manifest"
&& candidate.delivery.manifestGenerationSha256 === review.recordedMediaGenerationSha256
&& candidate.delivery.timelineStartSeconds === review.timelineStartSeconds
&& candidate.delivery.timelineEndSeconds >= review.timelineEndSeconds
));
if (!source) {
throw new Error("RIGHT-видео не совпало с sealed RAVNOVES004TREE timeline.");
}
if (!controller.signal.aborted) setVideoSource(source);
})
.catch((caught: unknown) => {
if (!controller.signal.aborted) {
setVideoError(caught instanceof Error ? caught.message : "Записанное видео недоступно.");
}
});
return () => controller.abort();
}, [
review.recordedMediaGenerationSha256,
review.recordedMediaSourceId,
review.sessionId,
review.timelineEndSeconds,
review.timelineStartSeconds,
]);
return (
<LaboratoryEvidenceViewer
label="RAVNOVES004TREE full recorded review"
className="m48-atlas-visual"
mode={mode}
modes={FULL_ROUTE_MODES}
expanded={expanded}
onModeChange={setMode}
onExpandedChange={setExpanded}
chromeLayout="stacked"
>
{videoSource ? (
<LaboratoryRecordedClipPlayer
source={videoSource}
segmentCount={review.frameCount}
frames={frames}
sequence={sequence}
playing={playing}
playbackRate={playbackRate}
cameraPresentation="primary"
continuousPlayback
sourceCount={1}
onSequenceChange={setSequence}
onPlayingChange={setPlaying}
onPlaybackRateChange={setPlaybackRate}
cameraOverlay={(
<>
<div className="m48-clip-player__pane-label" data-pane="camera">
{mode === "source" ? "SOURCE" : `${mode === "city" ? "EoMT CITY" : "DDRNet NATURE"} · КАДР ${sequence}/${review.frameCount}`}
</div>
{layer && semantic ? (
<RecordedEvidenceSemanticMaskOverlay
src={vegetationFullRouteMaskUrl(resultId, mode as "city" | "vegetation", maskSequence)}
prefetchSrcs={prefetchSrcs}
imageWidth={review.width}
imageHeight={review.height}
classes={semantic.classes}
palette={semantic.palette}
opacity={0.76}
ariaLabel={`${layer.name} semantic prediction`}
/>
) : null}
</>
)}
/>
) : (
<div className="m4-replay-threat-visual__pane-status" role={videoError ? "alert" : "status"}>
{videoError ?? "Открываем автономный recorded source…"}
</div>
)}
</LaboratoryEvidenceViewer>
);
}
function FullRouteReviewResult({
rigLabel,
resultId,
review,
}: {
rigLabel: string;
resultId: string;
review: VegetationFullRouteReview;
}) {
return (
<LaboratoryWorkTemplate
summary={(
<LaboratorySummary
title="LAB V1 · RAVNOVES004TREE · полный маршрут"
description="Существующий M4.7-шаблон воспроизводит всю запись и переключает два независимых sealed semantic-слоя: городской EoMT и природный DDRNet. Worker для открытия результата не нужен."
status="FULL RECORDED REVIEW · truth отсутствует · commands OFF"
statusTone="warning"
facts={[
{ label: "Источник", value: `${review.sourceId} · ${review.frameCount}/${review.frameCount} frames` },
{ label: "Город", value: `${review.city.name} · ${decimal(review.city.inferenceFps, 2)} fps` },
{ label: "Природа", value: `${review.vegetation.name} · ${decimal(review.vegetation.inferenceFps, 2)} fps` },
{ label: "Authority", value: `${rigLabel} · VISUAL REVIEW ONLY · commands OFF` },
]}
brief={{
question: "Как оба semantic-кандидата ведут себя на полном переходе от сельской среды к городской?",
approach: "Все 6830 позиции одной recorded timeline последовательно прогнаны на Worker 006 и сохранены двумя независимыми архивами масок. В M4.7 переключается только видимый слой.",
principalResult: "Полная временная шкала доступна локально в SOURCE / EoMT CITY / DDRNet NATURE без обращения к Worker.",
limitation: "Ручной truth отсутствует. Один повреждённый H.264-пакет на позиции 6092 представлен предыдущим декодированным кадром и явно зафиксирован в proof. Полный TGS и кюветы этим прогоном не проверялись.",
}}
method={{
completeness: "complete",
executionClass: "ai-inference",
pipelineId: "ravnoves004tree-full-eomt-ddrnet-recorded-review/v1",
components: [
{ kind: "model", name: review.city.name, version: "sealed Worker 006 run", role: "urban semantic review", identitySha256: null },
{ kind: "model", name: review.vegetation.name, version: "GOOSE DDRNet-39", role: "vegetation semantic review", identitySha256: null },
],
}}
/>
)}
evidence={(
<LaboratoryEvidence
eyebrow="M4.7 TEMPLATE · RAVNOVES004TREE FULL VIDEO"
title="SOURCE / EoMT CITY / DDRNet NATURE · 6830/6830 · TRUTH отсутствует"
kind="diagnostic-model"
resizable
>
<FullRouteReviewEvidence resultId={resultId} review={review} />
</LaboratoryEvidence>
)}
result={(
<LaboratoryResultSummary
title="Полный двухслойный visual review собран; управление не авторизовано"
status="Recorded evidence ready · navigation/actuation OFF"
statusTone="warning"
metrics={[
{ label: "Route masks", value: "6830/6830 × 2", hint: "sealed local archives · Worker не требуется" },
{ label: "EoMT p95", value: `${decimal(review.city.latencyP95Ms, 2)} ms`, hint: "последовательный изолированный прогон" },
{ label: "DDRNet p95", value: `${decimal(review.vegetation.latencyP95Ms, 2)} ms`, hint: "последовательный изолированный прогон" },
{ label: "Decode repair", value: "1/6830", hint: "sequence 6092 · previous frame · sealed proof" },
]}
conclusion={{
proved: "Городской EoMT и природный DDRNet воспроизводимо обработали полную запись и доступны в одном существующем M4.7 viewer.",
notProved: "Не доказаны truth accuracy, одновременный realtime-load, полный TGS, отрицательные препятствия и безопасное управление ровером.",
decision: "Использовать результат только как визуальную диагностику. Navigation/actuation оставить OFF; следующий gate — оценка временной стабильности и независимый person/vehicle STOP.",
}}
/>
)}
/>
);
}
function MixedRouteReviewEvidence({ review }: { review: VegetationMixedRouteReview }) {
const [index, setIndex] = useState(0);
const [mode, setMode] = useState<typeof MIXED_ROUTE_MODES[number]["value"]>("vegetation");
@@ -224,6 +447,15 @@ export function VegetationShadowResultView({
rigLabel: string;
result: VegetationShadowResult;
}) {
if (result.routeFullReview) {
return (
<FullRouteReviewResult
rigLabel={rigLabel}
resultId={result.resultId}
review={result.routeFullReview}
/>
);
}
if (result.routeReview) {
return <MixedRouteReviewResult rigLabel={rigLabel} review={result.routeReview} />;
}